-----------------------------------------------------------------------------------
      name:  <unnamed>
       log:  /Users/jeanlavallee/Dropbox/Datapub_RESTAT/Results/Appendix/TableC4.lo
> g
  log type:  text
 opened on:  19 Feb 2024, 01:35:53

. 
. wildbootstrap regress default_survey treatment final_stratum_id1-final_stratum_id
> 13, cluster(uid_cluster) reps(5000) rseed(13915183)

Performing 5,000 replications for p-value for treatment = 0 ...
Computing confidence interval for treatment
  Lower bound: .........10.........20.... done (24)
  Upper bound: .........10.........20. done (21)

Performing 5,000 replications for p-value for final_stratum_id1 = 0 ...
Computing confidence interval for final_stratum_id1
  Lower bound: .........10.........20.........30. done (31)
  Upper bound: .........10.........20...... done (26)

Performing 5,000 replications for p-value for final_stratum_id2 = 0 ...
Computing confidence interval for final_stratum_id2
  Lower bound: .........10......... done (19)
  Upper bound: .........10.........20... done (23)

Performing 5,000 replications for p-value for final_stratum_id3 = 0 ...
Computing confidence interval for final_stratum_id3
  Lower bound: .........10.........20........ done (28)
  Upper bound: .........10.........20..... done (25)

Performing 5,000 replications for p-value for final_stratum_id4 = 0 ...
Computing confidence interval for final_stratum_id4
  Lower bound: .........10.........20.........30.........40.........50.........60..
> .......70.........80.........90.........100 done (100)
lower confidence bound not found
  Upper bound: .........10.........20.........30.........40.........50.........60..
> .......70.........80.........90.........100 done (100)
upper confidence bound not found

Performing 5,000 replications for p-value for final_stratum_id5 = 0 ...
Computing confidence interval for final_stratum_id5
  Lower bound: .........10.........20...... done (26)
  Upper bound: .........10.........20.... done (24)

Performing 5,000 replications for p-value for final_stratum_id6 = 0 ...
Computing confidence interval for final_stratum_id6
  Lower bound: .........10.........20.........30 done (30)
  Upper bound: .........10.........20...... done (26)

Performing 5,000 replications for p-value for final_stratum_id7 = 0 ...
Computing confidence interval for final_stratum_id7
  Lower bound: .........10.........20.........30.........40.........50.........60..
> .......70.........80.........90.........100 done (100)
lower confidence bound not found
  Upper bound: .........10.........20.........30.........40.........50.........60..
> .......70.........80.........90.........100 done (100)
upper confidence bound not found

Performing 5,000 replications for p-value for final_stratum_id8 = 0 ...
Computing confidence interval for final_stratum_id8
  Lower bound: .........10.........20.........30 done (30)
  Upper bound: .........10.........20... done (23)

Performing 5,000 replications for p-value for final_stratum_id9 = 0 ...
Computing confidence interval for final_stratum_id9
  Lower bound: .........10.........20..... done (25)
  Upper bound: .........10.........20 done (20)

Performing 5,000 replications for p-value for final_stratum_id10 = 0 ...
Computing confidence interval for final_stratum_id10
  Lower bound: .........10.........20...... done (26)
  Upper bound: .........10.........20 done (20)

Performing 5,000 replications for p-value for final_stratum_id11 = 0 ...
Computing confidence interval for final_stratum_id11
  Lower bound: .........10......... done (19)
  Upper bound: .........10.........20.... done (24)

Performing 5,000 replications for p-value for final_stratum_id12 = 0 ...
Computing confidence interval for final_stratum_id12
  Lower bound: .........10.........20.........30......... done (39)
  Upper bound: .........10.........20........ done (28)

Performing 5,000 replications for p-value for final_stratum_id13 = 0 ...
Computing confidence interval for final_stratum_id13
  Lower bound: .........10......... done (19)
  Upper bound: .........10.........20.... done (24)

Wild cluster bootstrap                               Number of obs      = 122
Linear regression                                    Number of clusters =  65
                                                     Cluster size:
Cluster variable: uid_cluster                                       min =   1
Error weight: Rademacher                                            avg = 1.9
                                                                    max =   2
-----------------------------------------------------------------------------
          default_survey |   Estimate      t  p-value    [95% conf. interval]
-------------------------+---------------------------------------------------
constraints              |
           treatment = 0 |  -.0314838   -3.28   0.001   -.0524632   -.0116378
   final_stratum_id1 = 0 |  -.0018934   -0.11   0.926   -.1101739    .0975475
   final_stratum_id2 = 0 |  -.0609093   -6.80   0.015   -.0881633   -.0355776
   final_stratum_id3 = 0 |   .0008173    0.07   0.958   -.0891024    .0770395
   final_stratum_id4 = 0 |   -.030506   -1.98   0.203           .           .
   final_stratum_id5 = 0 |  -.0533006   -3.92   0.133   -.1508225    .0507034
   final_stratum_id6 = 0 |  -.0272768   -1.16   0.375   -.1209094    .1192423
   final_stratum_id7 = 0 |  -.0713902   -4.53   0.078           .           .
   final_stratum_id8 = 0 |    .008854    0.42   0.672   -.1266312    .1477555
   final_stratum_id9 = 0 |  -.0296244   -1.75   0.232   -.1587098    .0432335
  final_stratum_id10 = 0 |    .014375    0.95   0.405   -.0497945     .091586
  final_stratum_id11 = 0 |  -.0872917   -8.65   0.025   -.1560823   -.0207533
  final_stratum_id12 = 0 |  -.0820444   -6.78   0.055   -4.924591    .1010183
  final_stratum_id13 = 0 |  -.0820444   -7.50   0.029   -.1465151   -.0329321
-----------------------------------------------------------------------------

. wildbootstrap regress default_survey treatment final_stratum_id1-final_stratum_id
> 13 $hw_controls_b, cluster(uid_cluster) reps(5000) rseed(13915183)
note: b_age_dum_ omitted because of collinearity.
note: b_jobs_bef_oa_dum_ omitted because of collinearity.
note: male_dum_ omitted because of collinearity.
note: gen_caste_dum_ omitted because of collinearity.
note: hindu_dum_ omitted because of collinearity.
note: tertiary_dum_ omitted because of collinearity.
note: ownhouse_dum_ omitted because of collinearity.

Performing 5,000 replications for p-value for treatment = 0 ...
Computing confidence interval for treatment
  Lower bound: .........10.........20... done (23)
  Upper bound: .........10.........20. done (21)

Performing 5,000 replications for p-value for final_stratum_id1 = 0 ...
Computing confidence interval for final_stratum_id1
  Lower bound: .........10.........20....... done (27)
  Upper bound: .........10.........20..... done (25)

Performing 5,000 replications for p-value for final_stratum_id2 = 0 ...
Computing confidence interval for final_stratum_id2
  Lower bound: .........10.........20........ done (28)
  Upper bound: .........10.........20... done (23)

Performing 5,000 replications for p-value for final_stratum_id3 = 0 ...
Computing confidence interval for final_stratum_id3
  Lower bound: .........10.........20..... done (25)
  Upper bound: .........10.........20...... done (26)

Performing 5,000 replications for p-value for final_stratum_id4 = 0 ...
Computing confidence interval for final_stratum_id4
  Lower bound: .........10.........20......... done (29)
  Upper bound: .........10.........20.........30 done (30)

Performing 5,000 replications for p-value for final_stratum_id5 = 0 ...
Computing confidence interval for final_stratum_id5
  Lower bound: .........10.........20...... done (26)
  Upper bound: .........10.........20.... done (24)

Performing 5,000 replications for p-value for final_stratum_id6 = 0 ...
Computing confidence interval for final_stratum_id6
  Lower bound: .........10.........20....... done (27)
  Upper bound: .........10.........20.... done (24)

Performing 5,000 replications for p-value for final_stratum_id7 = 0 ...
Computing confidence interval for final_stratum_id7
  Lower bound: .........10.........20.........30........ done (38)
  Upper bound: .........10.........20..... done (25)

Performing 5,000 replications for p-value for final_stratum_id8 = 0 ...
Computing confidence interval for final_stratum_id8
  Lower bound: .........10.........20.........30.... done (34)
  Upper bound: .........10.........20.... done (24)

Performing 5,000 replications for p-value for final_stratum_id9 = 0 ...
Computing confidence interval for final_stratum_id9
  Lower bound: .........10.........20..... done (25)
  Upper bound: .........10.........20. done (21)

Performing 5,000 replications for p-value for final_stratum_id10 = 0 ...
Computing confidence interval for final_stratum_id10
  Lower bound: .........10.........20....... done (27)
  Upper bound: .........10.........20.... done (24)

Performing 5,000 replications for p-value for final_stratum_id11 = 0 ...
Computing confidence interval for final_stratum_id11
  Lower bound: .........10.........20...... done (26)
  Upper bound: .........10.........20.... done (24)

Performing 5,000 replications for p-value for final_stratum_id12 = 0 ...
Computing confidence interval for final_stratum_id12
  Lower bound: .........10.........20.. done (22)
  Upper bound: .........10.........20...... done (26)

Performing 5,000 replications for p-value for final_stratum_id13 = 0 ...
Computing confidence interval for final_stratum_id13
  Lower bound: .........10.........20..... done (25)
  Upper bound: .........10.........20..... done (25)

Performing 5,000 replications for p-value for b_age_ = 0 ...
Computing confidence interval for b_age_
  Lower bound: .........10.........20.. done (22)
  Upper bound: .........10.........20 done (20)

Performing 5,000 replications for p-value for b_jobs_bef_oa_ = 0 ...
Computing confidence interval for b_jobs_bef_oa_
  Lower bound: .........10.........20 done (20)
  Upper bound: .........10.........20.. done (22)

Performing 5,000 replications for p-value for male_ = 0 ...
Computing confidence interval for male_
  Lower bound: .........10.........20.........30... done (33)
  Upper bound: .........10.........20. done (21)

Performing 5,000 replications for p-value for gen_caste_ = 0 ...
Computing confidence interval for gen_caste_
  Lower bound: .........10.........20 done (20)
  Upper bound: .........10.........20 done (20)

Performing 5,000 replications for p-value for hindu_ = 0 ...
Computing confidence interval for hindu_
  Lower bound: .........10.........20 done (20)
  Upper bound: .........10.........20. done (21)

Performing 5,000 replications for p-value for twelveandbelow_ = 0 ...
Computing confidence interval for twelveandbelow_
  Lower bound: .........10.........20.........30 done (30)
  Upper bound: .........10.........20........ done (28)

Performing 5,000 replications for p-value for tertiary_ = 0 ...
Computing confidence interval for tertiary_
  Lower bound: .........10.........20....... done (27)
  Upper bound: .........10.........20.... done (24)

Performing 5,000 replications for p-value for hhd_size_ = 0 ...
Computing confidence interval for hhd_size_
  Lower bound: .........10.........20.. done (22)
  Upper bound: .........10.........20... done (23)

Performing 5,000 replications for p-value for ownhouse_ = 0 ...
Computing confidence interval for ownhouse_
  Lower bound: .........10.........20 done (20)
  Upper bound: .........10......... done (19)

Performing 5,000 replications for p-value for twelveandbelow_dum_ = 0 ...
Computing confidence interval for twelveandbelow_dum_
  Lower bound: .........10.........20.........30. done (31)
  Upper bound: .........10.........20........ done (28)

Performing 5,000 replications for p-value for hhd_size_dum_ = 0 ...
Computing confidence interval for hhd_size_dum_
  Lower bound: .........10.........20... done (23)
  Upper bound: .........10.........20.. done (22)

Wild cluster bootstrap                               Number of obs      = 122
Linear regression                                    Number of clusters =  65
                                                     Cluster size:
Cluster variable: uid_cluster                                       min =   1
Error weight: Rademacher                                            avg = 1.9
                                                                    max =   2
-----------------------------------------------------------------------------
          default_survey |   Estimate      t  p-value    [95% conf. interval]
-------------------------+---------------------------------------------------
constraints              |
           treatment = 0 |  -.0310722   -2.62   0.025   -.0622278    -.005118
   final_stratum_id1 = 0 |  -.0004704   -0.02   0.996   -.1055138    .1203344
   final_stratum_id2 = 0 |  -.0653067   -4.17   0.024   -.1032413    -.024262
   final_stratum_id3 = 0 |   .0038928    0.28   0.776   -.0951883    .0871228
   final_stratum_id4 = 0 |  -.0397438   -1.98   0.168    -.325679    .0726489
   final_stratum_id5 = 0 |  -.0444051   -2.00   0.158   -.1288672    .0650164
   final_stratum_id6 = 0 |  -.0405581   -1.31   0.314   -.1262583    .1337701
   final_stratum_id7 = 0 |  -.0871033   -3.77   0.059   -.1387143     .008151
   final_stratum_id8 = 0 |   .0058353    0.19   0.848   -.1964759    .2161272
   final_stratum_id9 = 0 |  -.0245887   -1.08   0.352   -.1409413    .0649101
  final_stratum_id10 = 0 |   .0187105    0.98   0.391   -.0449827    .0811273
  final_stratum_id11 = 0 |  -.0850831   -3.97   0.043   -.1597051   -.0061417
  final_stratum_id12 = 0 |  -.0941485   -3.34   0.060   -.2076666    .0140539
  final_stratum_id13 = 0 |  -.0846564   -5.07   0.026   -.1422034   -.0265289
              b_age_ = 0 |   .0008419    1.40   0.143   -.0003109    .0022128
      b_jobs_bef_oa_ = 0 |    .001723    0.11   0.901   -.0324189    .0381298
               male_ = 0 |   .0002362    0.01   0.993   -.0375591    .0425453
          gen_caste_ = 0 |   .0004243    0.03   0.985   -.0301933    .0297455
              hindu_ = 0 |   .0246813    1.49   0.233   -.0170685    .0622702
     twelveandbelow_ = 0 |   .0151268    0.75   0.637   -.1106311    .2261974
           tertiary_ = 0 |   .0114732    0.45   0.728   -.1257139    .1915248
           hhd_size_ = 0 |  -.0008267   -0.44   0.692   -.0049766    .0034529
           ownhouse_ = 0 |   .0134914    0.97   0.417    -.019768    .0485062
 twelveandbelow_dum_ = 0 |   .0291921    0.64   0.676   -.2366155     .307748
       hhd_size_dum_ = 0 |   .0017892    0.06   0.957   -.1127452    .1249605
-----------------------------------------------------------------------------

. 
. foreach var in default_oa default_diff_oa {
  2. wildbootstrap regress `var' treatment final_stratum_id1-final_stratum_id13 b_d
> efault_oa, cluster(uid_cluster) reps(5000) rseed(13915183)   
  3. wildbootstrap regress `var' treatment final_stratum_id1-final_stratum_id13 b_d
> efault_oa $hw_controls_b, cluster(uid_cluster) reps(5000) rseed(13915183)   
  4. }

Performing 5,000 replications for p-value for treatment = 0 ...
Computing confidence interval for treatment
  Lower bound: .........10.........20.. done (22)
  Upper bound: .........10......... done (19)

Performing 5,000 replications for p-value for final_stratum_id1 = 0 ...
Computing confidence interval for final_stratum_id1
  Lower bound: .........10.........20.. done (22)
  Upper bound: .........10.........20..... done (25)

Performing 5,000 replications for p-value for final_stratum_id2 = 0 ...
Computing confidence interval for final_stratum_id2
  Lower bound: .........10.........20....... done (27)
  Upper bound: .........10.........20......... done (29)

Performing 5,000 replications for p-value for final_stratum_id3 = 0 ...
Computing confidence interval for final_stratum_id3
  Lower bound: .........10.........20....... done (27)
  Upper bound: .........10.........20.... done (24)

Performing 5,000 replications for p-value for final_stratum_id4 = 0 ...
Computing confidence interval for final_stratum_id4
  Lower bound: .........10.........20.... done (24)
  Upper bound: .........10.........20.... done (24)

Performing 5,000 replications for p-value for final_stratum_id5 = 0 ...
Computing confidence interval for final_stratum_id5
  Lower bound: .........10.........20...... done (26)
  Upper bound: .........10.........20...... done (26)

Performing 5,000 replications for p-value for final_stratum_id6 = 0 ...
Computing confidence interval for final_stratum_id6
  Lower bound: .........10.........20......... done (29)
  Upper bound: .........10.........20....... done (27)

Performing 5,000 replications for p-value for final_stratum_id7 = 0 ...
Computing confidence interval for final_stratum_id7
  Lower bound: .........10.........20.........30......... done (39)
  Upper bound: .........10.........20.........30.........40... done (43)

Performing 5,000 replications for p-value for final_stratum_id8 = 0 ...
Computing confidence interval for final_stratum_id8
  Lower bound: .........10.........20.........30.. done (32)
  Upper bound: .........10.........20..... done (25)

Performing 5,000 replications for p-value for final_stratum_id9 = 0 ...
Computing confidence interval for final_stratum_id9
  Lower bound: .........10.........20.... done (24)
  Upper bound: .........10.........20......... done (29)

Performing 5,000 replications for p-value for final_stratum_id10 = 0 ...
Computing confidence interval for final_stratum_id10
  Lower bound: .........10.........20........ done (28)
  Upper bound: .........10.........20..... done (25)

Performing 5,000 replications for p-value for final_stratum_id11 = 0 ...
Computing confidence interval for final_stratum_id11
  Lower bound: .........10.........20.. done (22)
  Upper bound: .........10.........20.. done (22)

Performing 5,000 replications for p-value for final_stratum_id12 = 0 ...
Computing confidence interval for final_stratum_id12
  Lower bound: .........10.........20......... done (29)
  Upper bound: .........10.........20.........30...... done (36)

Performing 5,000 replications for p-value for final_stratum_id13 = 0 ...
Computing confidence interval for final_stratum_id13
  Lower bound: .........10.........20..... done (25)
  Upper bound: .........10.........20... done (23)

Performing 5,000 replications for p-value for b_default_oa = 0 ...
Computing confidence interval for b_default_oa
  Lower bound: .........10......... done (19)
  Upper bound: .........10.........20.. done (22)

Wild cluster bootstrap                               Number of obs      = 122
Linear regression                                    Number of clusters =  65
                                                     Cluster size:
Cluster variable: uid_cluster                                       min =   1
Error weight: Rademacher                                            avg = 1.9
                                                                    max =   2
-----------------------------------------------------------------------------
              default_oa |   Estimate      t  p-value    [95% conf. interval]
-------------------------+---------------------------------------------------
constraints              |
           treatment = 0 |   .0117251    0.99   0.359    -.012167    .0373617
   final_stratum_id1 = 0 |  -.0302826   -1.82   0.199   -.1176797    .0782619
   final_stratum_id2 = 0 |  -.0486484   -2.03   0.131   -.1248486     .035156
   final_stratum_id3 = 0 |  -.0508287   -4.23   0.113   -.1640405    .0509935
   final_stratum_id4 = 0 |  -.0142592   -1.04   0.463   -.0481858    .0224821
   final_stratum_id5 = 0 |  -.0603105   -4.27   0.106   -.1826603    .0583772
   final_stratum_id6 = 0 |  -.0376269   -3.29   0.076   -.0732645    .0121159
   final_stratum_id7 = 0 |  -.0860017   -9.87   0.064   -8.976914    11.22024
   final_stratum_id8 = 0 |   .0247089    0.82   0.446   -.1571008    .2068352
   final_stratum_id9 = 0 |   .0060602    0.20   0.867   -.2159348    .2223196
  final_stratum_id10 = 0 |  -.0318564   -1.05   0.454    -.192992    .1331261
  final_stratum_id11 = 0 |    .001732    0.04   0.962   -.1719543    .2000043
  final_stratum_id12 = 0 |  -.0877669   -6.79   0.064   -.5669779    4.976399
  final_stratum_id13 = 0 |  -.0647841   -3.61   0.078   -.1596427    .0223255
        b_default_oa = 0 |  -.0010381   -0.02   0.999   -.1405222    .1611361
-----------------------------------------------------------------------------
note: b_age_dum_ omitted because of collinearity.
note: b_jobs_bef_oa_dum_ omitted because of collinearity.
note: male_dum_ omitted because of collinearity.
note: gen_caste_dum_ omitted because of collinearity.
note: hindu_dum_ omitted because of collinearity.
note: tertiary_dum_ omitted because of collinearity.
note: ownhouse_dum_ omitted because of collinearity.

Performing 5,000 replications for p-value for treatment = 0 ...
Computing confidence interval for treatment
  Lower bound: .........10.........20. done (21)
  Upper bound: .........10.........20.. done (22)

Performing 5,000 replications for p-value for final_stratum_id1 = 0 ...
Computing confidence interval for final_stratum_id1
  Lower bound: .........10.........20...... done (26)
  Upper bound: .........10.........20... done (23)

Performing 5,000 replications for p-value for final_stratum_id2 = 0 ...
Computing confidence interval for final_stratum_id2
  Lower bound: .........10.........20.... done (24)
  Upper bound: .........10.........20...... done (26)

Performing 5,000 replications for p-value for final_stratum_id3 = 0 ...
Computing confidence interval for final_stratum_id3
  Lower bound: .........10.........20.........30. done (31)
  Upper bound: .........10.........20.... done (24)

Performing 5,000 replications for p-value for final_stratum_id4 = 0 ...
Computing confidence interval for final_stratum_id4
  Lower bound: .........10.........20.........30 done (30)
  Upper bound: .........10.........20....... done (27)

Performing 5,000 replications for p-value for final_stratum_id5 = 0 ...
Computing confidence interval for final_stratum_id5
  Lower bound: .........10......... done (19)
  Upper bound: .........10.........20........ done (28)

Performing 5,000 replications for p-value for final_stratum_id6 = 0 ...
Computing confidence interval for final_stratum_id6
  Lower bound: .........10.........20 done (20)
  Upper bound: .........10.........20... done (23)

Performing 5,000 replications for p-value for final_stratum_id7 = 0 ...
Computing confidence interval for final_stratum_id7
  Lower bound: .........10.........20. done (21)
  Upper bound: .........10.........20...... done (26)

Performing 5,000 replications for p-value for final_stratum_id8 = 0 ...
Computing confidence interval for final_stratum_id8
  Lower bound: .........10.........20...... done (26)
  Upper bound: .........10.........20..... done (25)

Performing 5,000 replications for p-value for final_stratum_id9 = 0 ...
Computing confidence interval for final_stratum_id9
  Lower bound: .........10.........20. done (21)
  Upper bound: .........10.........20....... done (27)

Performing 5,000 replications for p-value for final_stratum_id10 = 0 ...
Computing confidence interval for final_stratum_id10
  Lower bound: .........10.........20.... done (24)
  Upper bound: .........10.........20..... done (25)

Performing 5,000 replications for p-value for final_stratum_id11 = 0 ...
Computing confidence interval for final_stratum_id11
  Lower bound: .........10.........20. done (21)
  Upper bound: .........10.........20.. done (22)

Performing 5,000 replications for p-value for final_stratum_id12 = 0 ...
Computing confidence interval for final_stratum_id12
  Lower bound: .........10......... done (19)
  Upper bound: .........10.........20..... done (25)

Performing 5,000 replications for p-value for final_stratum_id13 = 0 ...
Computing confidence interval for final_stratum_id13
  Lower bound: .........10.........20..... done (25)
  Upper bound: .........10.........20..... done (25)

Performing 5,000 replications for p-value for b_default_oa = 0 ...
Computing confidence interval for b_default_oa
  Lower bound: .........10.........20....... done (27)
  Upper bound: .........10.........20... done (23)

Performing 5,000 replications for p-value for b_age_ = 0 ...
Computing confidence interval for b_age_
  Lower bound: .........10.........20..... done (25)
  Upper bound: .........10.........20.. done (22)

Performing 5,000 replications for p-value for b_jobs_bef_oa_ = 0 ...
Computing confidence interval for b_jobs_bef_oa_
  Lower bound: .........10.........20...... done (26)
  Upper bound: .........10......... done (19)

Performing 5,000 replications for p-value for male_ = 0 ...
Computing confidence interval for male_
  Lower bound: .........10.........20. done (21)
  Upper bound: .........10.........20. done (21)

Performing 5,000 replications for p-value for gen_caste_ = 0 ...
Computing confidence interval for gen_caste_
  Lower bound: .........10.........20..... done (25)
  Upper bound: .........10.........20.. done (22)

Performing 5,000 replications for p-value for hindu_ = 0 ...
Computing confidence interval for hindu_
  Lower bound: .........10.........20..... done (25)
  Upper bound: .........10.........20..... done (25)

Performing 5,000 replications for p-value for twelveandbelow_ = 0 ...
Computing confidence interval for twelveandbelow_
  Lower bound: .........10.........20........ done (28)
  Upper bound: .........10.........20..... done (25)

Performing 5,000 replications for p-value for tertiary_ = 0 ...
Computing confidence interval for tertiary_
  Lower bound: .........10.........20..... done (25)
  Upper bound: .........10.........20......... done (29)

Performing 5,000 replications for p-value for hhd_size_ = 0 ...
Computing confidence interval for hhd_size_
  Lower bound: .........10.........20..... done (25)
  Upper bound: .........10.........20.. done (22)

Performing 5,000 replications for p-value for ownhouse_ = 0 ...
Computing confidence interval for ownhouse_
  Lower bound: .........10.........20 done (20)
  Upper bound: .........10....... done (17)

Performing 5,000 replications for p-value for twelveandbelow_dum_ = 0 ...
Computing confidence interval for twelveandbelow_dum_
  Lower bound: .........10.........20.... done (24)
  Upper bound: .........10.........20... done (23)

Performing 5,000 replications for p-value for hhd_size_dum_ = 0 ...
Computing confidence interval for hhd_size_dum_
  Lower bound: .........10.........20........ done (28)
  Upper bound: .........10.........20.. done (22)

Wild cluster bootstrap                               Number of obs      = 122
Linear regression                                    Number of clusters =  65
                                                     Cluster size:
Cluster variable: uid_cluster                                       min =   1
Error weight: Rademacher                                            avg = 1.9
                                                                    max =   2
-----------------------------------------------------------------------------
              default_oa |   Estimate      t  p-value    [95% conf. interval]
-------------------------+---------------------------------------------------
constraints              |
           treatment = 0 |   .0254046    1.76   0.122   -.0069872    .0595951
   final_stratum_id1 = 0 |  -.0306249   -1.46   0.255   -.1019653    .0649252
   final_stratum_id2 = 0 |  -.0644837   -2.15   0.103    -.168928    .0316011
   final_stratum_id3 = 0 |  -.0354026   -2.25   0.124   -.1977083    .0415289
   final_stratum_id4 = 0 |  -.0178606   -0.77   0.483   -.8176959    .1259518
   final_stratum_id5 = 0 |  -.0645139   -3.01   0.074   -.1403706    .0314954
   final_stratum_id6 = 0 |  -.0303067   -1.31   0.209   -.0854614     .027751
   final_stratum_id7 = 0 |  -.0756454   -3.01   0.036   -.1600816   -.0106073
   final_stratum_id8 = 0 |   .0421009    1.01   0.419   -.2814022    .2998759
   final_stratum_id9 = 0 |   .0043652    0.18   0.858   -.0773235    .1370459
  final_stratum_id10 = 0 |  -.0241878   -0.78   0.508   -.1440728    .1195323
  final_stratum_id11 = 0 |  -.0077956   -0.18   0.880   -.1608329    .1614173
  final_stratum_id12 = 0 |  -.0891924   -3.02   0.060   -.1813542     .017217
  final_stratum_id13 = 0 |  -.0570673   -3.19   0.048    -.112864   -.0019942
        b_default_oa = 0 |   .0059633    0.12   0.893   -.0904204     .156727
              b_age_ = 0 |  -.0002278   -0.20   0.876   -.0030383    .0025617
      b_jobs_bef_oa_ = 0 |   .0203759    1.32   0.220   -.0130029    .0559721
               male_ = 0 |   .0080376    0.46   0.713    -.034747    .0480201
          gen_caste_ = 0 |  -.0133087   -0.87   0.434   -.0476099    .0228968
              hindu_ = 0 |  -.0248318   -1.23   0.294   -.0729565    .0241171
     twelveandbelow_ = 0 |   -.048632   -0.99   0.741     -.61823     .790279
           tertiary_ = 0 |  -.0581905   -1.13   0.698   -.4678056    .5972668
           hhd_size_ = 0 |  -.0018464   -0.83   0.457   -.0072895    .0032037
           ownhouse_ = 0 |   .0176553    1.34   0.252   -.0123819    .0461736
 twelveandbelow_dum_ = 0 |  -.0474226   -0.93   0.677   -.3347344    .1913286
       hhd_size_dum_ = 0 |  -.0874254   -2.09   0.172   -.2190588    .0969072
-----------------------------------------------------------------------------

Performing 5,000 replications for p-value for treatment = 0 ...
Computing confidence interval for treatment
  Lower bound: .........10......... done (19)
  Upper bound: .........10......... done (19)

Performing 5,000 replications for p-value for final_stratum_id1 = 0 ...
Computing confidence interval for final_stratum_id1
  Lower bound: .........10.........20..... done (25)
  Upper bound: .........10.........20...... done (26)

Performing 5,000 replications for p-value for final_stratum_id2 = 0 ...
Computing confidence interval for final_stratum_id2
  Lower bound: .........10.........20..... done (25)
  Upper bound: .........10.........20.. done (22)

Performing 5,000 replications for p-value for final_stratum_id3 = 0 ...
Computing confidence interval for final_stratum_id3
  Lower bound: .........10.........20.... done (24)
  Upper bound: .........10.........20....... done (27)

Performing 5,000 replications for p-value for final_stratum_id4 = 0 ...
Computing confidence interval for final_stratum_id4
  Lower bound: .........10.........20.........30.........40..... done (45)
  Upper bound: .........10.........20.........30.........40.........50. done (51)

Performing 5,000 replications for p-value for final_stratum_id5 = 0 ...
Computing confidence interval for final_stratum_id5
  Lower bound: .........10.........20...... done (26)
  Upper bound: .........10.........20.........30.... done (34)

Performing 5,000 replications for p-value for final_stratum_id6 = 0 ...
Computing confidence interval for final_stratum_id6
  Lower bound: .........10.........20. done (21)
  Upper bound: .........10.........20...... done (26)

Performing 5,000 replications for p-value for final_stratum_id7 = 0 ...
Computing confidence interval for final_stratum_id7
  Lower bound: .........10.........20.........30.........40.... done (44)
  Upper bound: .........10.........20.........30.........40.. done (42)

Performing 5,000 replications for p-value for final_stratum_id8 = 0 ...
Computing confidence interval for final_stratum_id8
  Lower bound: .........10.........20....... done (27)
  Upper bound: .........10.........20... done (23)

Performing 5,000 replications for p-value for final_stratum_id9 = 0 ...
Computing confidence interval for final_stratum_id9
  Lower bound: .........10.........20.... done (24)
  Upper bound: .........10.........20..... done (25)

Performing 5,000 replications for p-value for final_stratum_id10 = 0 ...
Computing confidence interval for final_stratum_id10
  Lower bound: .........10.........20... done (23)
  Upper bound: .........10.........20.... done (24)

Performing 5,000 replications for p-value for final_stratum_id11 = 0 ...
Computing confidence interval for final_stratum_id11
  Lower bound: .........10.........20 done (20)
  Upper bound: .........10.........20.... done (24)

Performing 5,000 replications for p-value for final_stratum_id12 = 0 ...
Computing confidence interval for final_stratum_id12
  Lower bound: .........10.........20.........30.........40. done (41)
  Upper bound: .........10.........20....... done (27)

Performing 5,000 replications for p-value for final_stratum_id13 = 0 ...
Computing confidence interval for final_stratum_id13
  Lower bound: .........10.........20. done (21)
  Upper bound: .........10.........20.. done (22)

Performing 5,000 replications for p-value for b_default_oa = 0 ...
Computing confidence interval for b_default_oa
  Lower bound: .........10.........20.. done (22)
  Upper bound: .........10.........20. done (21)

Wild cluster bootstrap                               Number of obs      = 122
Linear regression                                    Number of clusters =  65
                                                     Cluster size:
Cluster variable: uid_cluster                                       min =   1
Error weight: Rademacher                                            avg = 1.9
                                                                    max =   2
-----------------------------------------------------------------------------
         default_diff_oa |   Estimate      t  p-value    [95% conf. interval]
-------------------------+---------------------------------------------------
constraints              |
           treatment = 0 |  -.0414487   -2.47   0.020   -.0784807   -.0066992
   final_stratum_id1 = 0 |   .0272256    0.91   0.426   -.1555004     .199206
   final_stratum_id2 = 0 |  -.0130262   -0.41   0.710   -.1206296    .0877524
   final_stratum_id3 = 0 |    .052456    2.69   0.158   -.1125914    .2223185
   final_stratum_id4 = 0 |  -.0153757   -1.07   0.465   -40.38862    177.3625
   final_stratum_id5 = 0 |   .0060423    0.30   0.794   -.1486237    .2203182
   final_stratum_id6 = 0 |   .0093854    0.33   0.797   -.1107729    .1868445
   final_stratum_id7 = 0 |     .01286    0.63   0.653   -56.80308    11.92124
   final_stratum_id8 = 0 |  -.0055517   -0.12   0.900    -.289798    .2992412
   final_stratum_id9 = 0 |  -.0358259   -0.93   0.396   -.2879242     .217003
  final_stratum_id10 = 0 |   .0478291    1.30   0.308   -.1203492    .1919745
  final_stratum_id11 = 0 |  -.0703151   -1.50   0.251   -.2682614    .1006101
  final_stratum_id12 = 0 |   .0036777    0.15   0.833    -9.26618    .4016581
  final_stratum_id13 = 0 |  -.0193051   -0.71   0.588   -.1667879    .1127173
        b_default_oa = 0 |  -.0552174   -0.71   0.502   -.2679538     .144841
-----------------------------------------------------------------------------
note: b_age_dum_ omitted because of collinearity.
note: b_jobs_bef_oa_dum_ omitted because of collinearity.
note: male_dum_ omitted because of collinearity.
note: gen_caste_dum_ omitted because of collinearity.
note: hindu_dum_ omitted because of collinearity.
note: tertiary_dum_ omitted because of collinearity.
note: ownhouse_dum_ omitted because of collinearity.

Performing 5,000 replications for p-value for treatment = 0 ...
Computing confidence interval for treatment
  Lower bound: .........10.........20.... done (24)
  Upper bound: .........10.........20.. done (22)

Performing 5,000 replications for p-value for final_stratum_id1 = 0 ...
Computing confidence interval for final_stratum_id1
  Lower bound: .........10.........20.. done (22)
  Upper bound: .........10.........20. done (21)

Performing 5,000 replications for p-value for final_stratum_id2 = 0 ...
Computing confidence interval for final_stratum_id2
  Lower bound: .........10.........20........ done (28)
  Upper bound: .........10.........20... done (23)

Performing 5,000 replications for p-value for final_stratum_id3 = 0 ...
Computing confidence interval for final_stratum_id3
  Lower bound: .........10.........20........ done (28)
  Upper bound: .........10.........20....... done (27)

Performing 5,000 replications for p-value for final_stratum_id4 = 0 ...
Computing confidence interval for final_stratum_id4
  Lower bound: .........10.........20...... done (26)
  Upper bound: .........10.........20.........30.... done (34)

Performing 5,000 replications for p-value for final_stratum_id5 = 0 ...
Computing confidence interval for final_stratum_id5
  Lower bound: .........10.........20. done (21)
  Upper bound: .........10.........20.... done (24)

Performing 5,000 replications for p-value for final_stratum_id6 = 0 ...
Computing confidence interval for final_stratum_id6
  Lower bound: .........10.........20.... done (24)
  Upper bound: .........10.........20... done (23)

Performing 5,000 replications for p-value for final_stratum_id7 = 0 ...
Computing confidence interval for final_stratum_id7
  Lower bound: .........10.........20..... done (25)
  Upper bound: .........10.........20... done (23)

Performing 5,000 replications for p-value for final_stratum_id8 = 0 ...
Computing confidence interval for final_stratum_id8
  Lower bound: .........10.........20........ done (28)
  Upper bound: .........10.........20........ done (28)

Performing 5,000 replications for p-value for final_stratum_id9 = 0 ...
Computing confidence interval for final_stratum_id9
  Lower bound: .........10.........20...... done (26)
  Upper bound: .........10.........20...... done (26)

Performing 5,000 replications for p-value for final_stratum_id10 = 0 ...
Computing confidence interval for final_stratum_id10
  Lower bound: .........10.........20....... done (27)
  Upper bound: .........10.........20.... done (24)

Performing 5,000 replications for p-value for final_stratum_id11 = 0 ...
Computing confidence interval for final_stratum_id11
  Lower bound: .........10.........20 done (20)
  Upper bound: .........10.........20.. done (22)

Performing 5,000 replications for p-value for final_stratum_id12 = 0 ...
Computing confidence interval for final_stratum_id12
  Lower bound: .........10.........20....... done (27)
  Upper bound: .........10.........20.. done (22)

Performing 5,000 replications for p-value for final_stratum_id13 = 0 ...
Computing confidence interval for final_stratum_id13
  Lower bound: .........10.........20.........30 done (30)
  Upper bound: .........10.........20... done (23)

Performing 5,000 replications for p-value for b_default_oa = 0 ...
Computing confidence interval for b_default_oa
  Lower bound: .........10.........20.. done (22)
  Upper bound: .........10.........20.... done (24)

Performing 5,000 replications for p-value for b_age_ = 0 ...
Computing confidence interval for b_age_
  Lower bound: .........10......... done (19)
  Upper bound: .........10.........20. done (21)

Performing 5,000 replications for p-value for b_jobs_bef_oa_ = 0 ...
Computing confidence interval for b_jobs_bef_oa_
  Lower bound: .........10........ done (18)
  Upper bound: .........10.........20. done (21)

Performing 5,000 replications for p-value for male_ = 0 ...
Computing confidence interval for male_
  Lower bound: .........10.........20..... done (25)
  Upper bound: .........10.........20. done (21)

Performing 5,000 replications for p-value for gen_caste_ = 0 ...
Computing confidence interval for gen_caste_
  Lower bound: .........10.........20. done (21)
  Upper bound: .........10.........20. done (21)

Performing 5,000 replications for p-value for hindu_ = 0 ...
Computing confidence interval for hindu_
  Lower bound: .........10.........20... done (23)
  Upper bound: .........10.........20. done (21)

Performing 5,000 replications for p-value for twelveandbelow_ = 0 ...
Computing confidence interval for twelveandbelow_
  Lower bound: .........10.........20..... done (25)
  Upper bound: .........10.........20..... done (25)

Performing 5,000 replications for p-value for tertiary_ = 0 ...
Computing confidence interval for tertiary_
  Lower bound: .........10.........20........ done (28)
  Upper bound: .........10.........20... done (23)

Performing 5,000 replications for p-value for hhd_size_ = 0 ...
Computing confidence interval for hhd_size_
  Lower bound: .........10.........20 done (20)
  Upper bound: .........10.........20 done (20)

Performing 5,000 replications for p-value for ownhouse_ = 0 ...
Computing confidence interval for ownhouse_
  Lower bound: .........10......... done (19)
  Upper bound: .........10.........20 done (20)

Performing 5,000 replications for p-value for twelveandbelow_dum_ = 0 ...
Computing confidence interval for twelveandbelow_dum_
  Lower bound: .........10.........20......... done (29)
  Upper bound: .........10.........20..... done (25)

Performing 5,000 replications for p-value for hhd_size_dum_ = 0 ...
Computing confidence interval for hhd_size_dum_
  Lower bound: .........10.........20.... done (24)
  Upper bound: .........10.........20.... done (24)

Wild cluster bootstrap                               Number of obs      = 122
Linear regression                                    Number of clusters =  65
                                                     Cluster size:
Cluster variable: uid_cluster                                       min =   1
Error weight: Rademacher                                            avg = 1.9
                                                                    max =   2
-----------------------------------------------------------------------------
         default_diff_oa |   Estimate      t  p-value    [95% conf. interval]
-------------------------+---------------------------------------------------
constraints              |
           treatment = 0 |  -.0555317   -2.67   0.018   -.1078313   -.0090902
   final_stratum_id1 = 0 |   .0349299    0.94   0.424   -.1370921    .2162803
   final_stratum_id2 = 0 |   .0000191    0.00   0.992   -.1216872    .1408013
   final_stratum_id3 = 0 |   .0424608    1.74   0.188   -.0792803    .2897804
   final_stratum_id4 = 0 |  -.0228727   -0.87   0.393   -.2436827    .6618924
   final_stratum_id5 = 0 |    .025893    0.85   0.446   -.0825137    .1498872
   final_stratum_id6 = 0 |  -.0104745   -0.23   0.830   -.1384527    .2110171
   final_stratum_id7 = 0 |  -.0142255   -0.36   0.713   -.1196279    .1398836
   final_stratum_id8 = 0 |  -.0163138   -0.25   0.861   -.4411658     .528677
   final_stratum_id9 = 0 |  -.0256095   -0.69   0.533   -.2852784    .1529106
  final_stratum_id10 = 0 |   .0511869    1.26   0.318   -.1263918    .1868351
  final_stratum_id11 = 0 |  -.0425839   -0.79   0.499   -.2173827    .1283146
  final_stratum_id12 = 0 |   -.008687   -0.17   0.892   -.2749584    .1984507
  final_stratum_id13 = 0 |  -.0299859   -0.95   0.427   -.1399476    .0806387
        b_default_oa = 0 |  -.0927657   -1.15   0.262   -.3221225    .1063498
              b_age_ = 0 |   .0012908    1.00   0.361   -.0016601    .0043621
      b_jobs_bef_oa_ = 0 |  -.0227429   -1.05   0.339   -.0703112    .0247111
               male_ = 0 |   -.005139   -0.18   0.868   -.0698384    .0694643
          gen_caste_ = 0 |   .0152514    0.73   0.537   -.0360153    .0608535
              hindu_ = 0 |   .0572879    2.09   0.090   -.0095155    .1228053
     twelveandbelow_ = 0 |   .0697888    1.13   0.741   -.8755096    .8252843
           tertiary_ = 0 |   .0726232    1.08   0.683   -.6779491    .6279449
           hhd_size_ = 0 |   .0010828    0.36   0.738   -.0058295    .0083253
           ownhouse_ = 0 |   .0036225    0.17   0.891   -.0463725    .0584711
 twelveandbelow_dum_ = 0 |   .0744129    0.97   0.653   -.3421807     .522835
       hhd_size_dum_ = 0 |   .0955473    1.97   0.156   -.0837032    .3004759
-----------------------------------------------------------------------------

. 
. foreach var in default_verif default_diff_verif {
  2. wildbootstrap regress `var' treatment final_stratum_id1-final_stratum_id13, cl
> uster(uid_cluster) reps(5000) rseed(13915183)   
  3. wildbootstrap regress `var' treatment final_stratum_id1-final_stratum_id13 $hw
> _controls_b, cluster(uid_cluster) reps(5000) rseed(13915183)   
  4. } 
note: final_stratum_id5 omitted because of collinearity.

Performing 5,000 replications for p-value for treatment = 0 ...
Computing confidence interval for treatment
  Lower bound: .........10.........20 done (20)
  Upper bound: .........10.........20 done (20)

Performing 5,000 replications for p-value for final_stratum_id1 = 0 ...
Computing confidence interval for final_stratum_id1
  Lower bound: .........10.........20.... done (24)
  Upper bound: .........10.........20....... done (27)

Performing 5,000 replications for p-value for final_stratum_id2 = 0 ...
Computing confidence interval for final_stratum_id2
  Lower bound: .........10........ done (18)
  Upper bound: .........10.........20...... done (26)

Performing 5,000 replications for p-value for final_stratum_id3 = 0 ...
Computing confidence interval for final_stratum_id3
  Lower bound: .........10.........20.... done (24)
  Upper bound: .........10.........20...... done (26)

Performing 5,000 replications for p-value for final_stratum_id4 = 0 ...
Computing confidence interval for final_stratum_id4
  Lower bound: .........10.........20.........30... done (33)
  Upper bound: .........10.........20.........30...... done (36)

Performing 5,000 replications for p-value for final_stratum_id6 = 0 ...
Computing confidence interval for final_stratum_id6
  Lower bound: .........10.........20.........30 done (30)
  Upper bound: .........10.........20...... done (26)

Performing 5,000 replications for p-value for final_stratum_id7 = 0 ...
Computing confidence interval for final_stratum_id7
  Lower bound: .........10.........20........ done (28)
  Upper bound: .........10.........20.... done (24)

Performing 5,000 replications for p-value for final_stratum_id8 = 0 ...
Computing confidence interval for final_stratum_id8
  Lower bound: .........10.........20....... done (27)
  Upper bound: .........10.........20......... done (29)

Performing 5,000 replications for p-value for final_stratum_id9 = 0 ...
Computing confidence interval for final_stratum_id9
  Lower bound: .........10.........20........ done (28)
  Upper bound: .........10.........20.........30.........40......... done (49)

Performing 5,000 replications for p-value for final_stratum_id10 = 0 ...
Computing confidence interval for final_stratum_id10
  Lower bound: .........10.........20.. done (22)
  Upper bound: .........10.........20.........30......... done (39)

Performing 5,000 replications for p-value for final_stratum_id11 = 0 ...
Computing confidence interval for final_stratum_id11
  Lower bound: .........10.........20......... done (29)
  Upper bound: .........10.........20.... done (24)

Performing 5,000 replications for p-value for final_stratum_id12 = 0 ...
Computing confidence interval for final_stratum_id12
  Lower bound: .........10.........20.........30.........40.........50.........60..
> .......70.........80.........90.........100 done (100)
lower confidence bound not found
  Upper bound: .........10.........20.........30.........40.........50.........60..
> .......70.........80.........90.........100 done (100)
upper confidence bound not found

Performing 5,000 replications for p-value for final_stratum_id13 = 0 ...
Computing confidence interval for final_stratum_id13
  Lower bound: .........10.........20.. done (22)
  Upper bound: .........10.........20......... done (29)

Wild cluster bootstrap                               Number of obs      = 102
Linear regression                                    Number of clusters =  56
                                                     Cluster size:
Cluster variable: uid_cluster                                       min =   1
Error weight: Rademacher                                            avg = 1.8
                                                                    max =   2
-----------------------------------------------------------------------------
           default_verif |   Estimate      t  p-value    [95% conf. interval]
-------------------------+---------------------------------------------------
constraints              |
           treatment = 0 |   .0073408    1.01   0.339   -.0071891    .0226126
   final_stratum_id1 = 0 |  -.0129382   -2.16   0.245   -.0777437    .0420558
   final_stratum_id2 = 0 |  -.0046924   -0.51   0.703   -.0343862    .0266664
   final_stratum_id3 = 0 |    .004699    0.48   0.645    -.072273    .0846189
   final_stratum_id4 = 0 |    .026605    3.83   0.083   -.3389204    3.637255
   final_stratum_id6 = 0 |    .032686    1.43   0.218   -.0717461    .1835814
   final_stratum_id7 = 0 |  -.0085862   -0.95   0.517   -.0301377    .0771267
   final_stratum_id8 = 0 |    .022812    1.36   0.252   -.1346472     .211793
   final_stratum_id9 = 0 |    .023108    1.56   0.217   -.0755597    .1141561
  final_stratum_id10 = 0 |   .0024557    0.24   0.803   -.0485564    .0797968
  final_stratum_id11 = 0 |   .0027775    0.27   0.804   -.0645193    .0777731
  final_stratum_id12 = 0 |  -.0154915   -2.60   0.242           .           .
  final_stratum_id13 = 0 |   .0053419    0.29   0.842   -.0723237    .1287076
-----------------------------------------------------------------------------
note: final_stratum_id5 omitted because of collinearity.
note: b_age_dum_ omitted because of collinearity.
note: b_jobs_bef_oa_dum_ omitted because of collinearity.
note: male_dum_ omitted because of collinearity.
note: gen_caste_dum_ omitted because of collinearity.
note: hindu_dum_ omitted because of collinearity.
note: tertiary_dum_ omitted because of collinearity.
note: ownhouse_dum_ omitted because of collinearity.

Performing 5,000 replications for p-value for treatment = 0 ...
Computing confidence interval for treatment
  Lower bound: .........10.........20.. done (22)
  Upper bound: .........10.........20. done (21)

Performing 5,000 replications for p-value for final_stratum_id1 = 0 ...
Computing confidence interval for final_stratum_id1
  Lower bound: .........10.........20........ done (28)
  Upper bound: .........10.........20.. done (22)

Performing 5,000 replications for p-value for final_stratum_id2 = 0 ...
Computing confidence interval for final_stratum_id2
  Lower bound: .........10.........20...... done (26)
  Upper bound: .........10......... done (19)

Performing 5,000 replications for p-value for final_stratum_id3 = 0 ...
Computing confidence interval for final_stratum_id3
  Lower bound: .........10.........20......... done (29)
  Upper bound: .........10.........20...... done (26)

Performing 5,000 replications for p-value for final_stratum_id4 = 0 ...
Computing confidence interval for final_stratum_id4
  Lower bound: .........10.........20... done (23)
  Upper bound: .........10.........20.........30 done (30)

Performing 5,000 replications for p-value for final_stratum_id6 = 0 ...
Computing confidence interval for final_stratum_id6
  Lower bound: .........10.........20... done (23)
  Upper bound: .........10.........20... done (23)

Performing 5,000 replications for p-value for final_stratum_id7 = 0 ...
Computing confidence interval for final_stratum_id7
  Lower bound: .........10......... done (19)
  Upper bound: .........10.........20... done (23)

Performing 5,000 replications for p-value for final_stratum_id8 = 0 ...
Computing confidence interval for final_stratum_id8
  Lower bound: .........10.........20... done (23)
  Upper bound: .........10.........20.. done (22)

Performing 5,000 replications for p-value for final_stratum_id9 = 0 ...
Computing confidence interval for final_stratum_id9
  Lower bound: .........10.........20... done (23)
  Upper bound: .........10.........20..... done (25)

Performing 5,000 replications for p-value for final_stratum_id10 = 0 ...
Computing confidence interval for final_stratum_id10
  Lower bound: .........10.........20........ done (28)
  Upper bound: .........10.........20........ done (28)

Performing 5,000 replications for p-value for final_stratum_id11 = 0 ...
Computing confidence interval for final_stratum_id11
  Lower bound: .........10.........20....... done (27)
  Upper bound: .........10.........20.... done (24)

Performing 5,000 replications for p-value for final_stratum_id12 = 0 ...
Computing confidence interval for final_stratum_id12
  Lower bound: .........10.........20.... done (24)
  Upper bound: .........10.........20. done (21)

Performing 5,000 replications for p-value for final_stratum_id13 = 0 ...
Computing confidence interval for final_stratum_id13
  Lower bound: .........10.........20...... done (26)
  Upper bound: .........10.........20..... done (25)

Performing 5,000 replications for p-value for b_age_ = 0 ...
Computing confidence interval for b_age_
  Lower bound: .........10.........20... done (23)
  Upper bound: .........10.........20 done (20)

Performing 5,000 replications for p-value for b_jobs_bef_oa_ = 0 ...
Computing confidence interval for b_jobs_bef_oa_
  Lower bound: .........10.........20.. done (22)
  Upper bound: .........10.........20..... done (25)

Performing 5,000 replications for p-value for male_ = 0 ...
Computing confidence interval for male_
  Lower bound: .........10.........20........ done (28)
  Upper bound: .........10.........20 done (20)

Performing 5,000 replications for p-value for gen_caste_ = 0 ...
Computing confidence interval for gen_caste_
  Lower bound: .........10.........20......... done (29)
  Upper bound: .........10......... done (19)

Performing 5,000 replications for p-value for hindu_ = 0 ...
Computing confidence interval for hindu_
  Lower bound: .........10.........20...... done (26)
  Upper bound: .........10.........20. done (21)

Performing 5,000 replications for p-value for twelveandbelow_ = 0 ...
Computing confidence interval for twelveandbelow_
  Lower bound: .........10.........20.........30.... done (34)
  Upper bound: .........10.........20........ done (28)

Performing 5,000 replications for p-value for tertiary_ = 0 ...
Computing confidence interval for tertiary_
  Lower bound: .........10.........20.........30 done (30)
  Upper bound: .........10.........20......... done (29)

Performing 5,000 replications for p-value for hhd_size_ = 0 ...
Computing confidence interval for hhd_size_
  Lower bound: .........10.........20.. done (22)
  Upper bound: .........10.........20. done (21)

Performing 5,000 replications for p-value for ownhouse_ = 0 ...
Computing confidence interval for ownhouse_
  Lower bound: .........10.........20... done (23)
  Upper bound: .........10.........20.. done (22)

Performing 5,000 replications for p-value for twelveandbelow_dum_ = 0 ...
Computing confidence interval for twelveandbelow_dum_
  Lower bound: .........10.........20......... done (29)
  Upper bound: .........10.........20..... done (25)

Performing 5,000 replications for p-value for hhd_size_dum_ = 0 ...
Computing confidence interval for hhd_size_dum_
  Lower bound: .........10.........20.... done (24)
  Upper bound: .........10.........20. done (21)

Wild cluster bootstrap                               Number of obs      = 102
Linear regression                                    Number of clusters =  56
                                                     Cluster size:
Cluster variable: uid_cluster                                       min =   1
Error weight: Rademacher                                            avg = 1.8
                                                                    max =   2
-----------------------------------------------------------------------------
           default_verif |   Estimate      t  p-value    [95% conf. interval]
-------------------------+---------------------------------------------------
constraints              |
           treatment = 0 |  -.0038927   -0.54   0.611   -.0200192     .012614
   final_stratum_id1 = 0 |  -.0028524   -0.17   0.878   -.0764771    .0614606
   final_stratum_id2 = 0 |   .0023319    0.15   0.858   -.0373845    .0457881
   final_stratum_id3 = 0 |  -.0024833   -0.17   0.878   -.1254906     .134428
   final_stratum_id4 = 0 |   .0148696    0.83   0.461   -.0727674    .3822774
   final_stratum_id6 = 0 |   .0376271    1.26   0.346    -.062104    .1462948
   final_stratum_id7 = 0 |  -.0135757   -0.56   0.642   -.0885746     .086774
   final_stratum_id8 = 0 |   .0293431    1.42   0.285   -.0625248    .1717026
   final_stratum_id9 = 0 |   .0248842    1.30   0.261   -.0469945    .1453564
  final_stratum_id10 = 0 |   .0097878    0.54   0.640   -.0628461     .109786
  final_stratum_id11 = 0 |     .01816    0.96   0.395    -.041618    .0819346
  final_stratum_id12 = 0 |  -.0115712   -0.53   0.635   -.0873416    .0457688
  final_stratum_id13 = 0 |   -.000477   -0.02   0.990   -.1001353    .1490408
              b_age_ = 0 |   .0004743    0.61   0.622   -.0017728    .0023143
      b_jobs_bef_oa_ = 0 |  -.0162275   -1.64   0.132    -.038734    .0057476
               male_ = 0 |   .0155164    1.78   0.135   -.0037476    .0380942
          gen_caste_ = 0 |   .0191947    1.74   0.142    -.006268    .0475744
              hindu_ = 0 |   .0224285    2.12   0.075   -.0037826    .0497244
     twelveandbelow_ = 0 |   .0330956    2.81   0.271   -.3083392    .3345794
           tertiary_ = 0 |   .0346057    3.43   0.220   -.3511472    .2468375
           hhd_size_ = 0 |   .0030339    1.59   0.244   -.0016453    .0088897
           ownhouse_ = 0 |   .0002738    0.04   0.964   -.0141689    .0143842
 twelveandbelow_dum_ = 0 |   .0092025    0.66   0.541   -.0896421    .0869242
       hhd_size_dum_ = 0 |   .0378129    2.43   0.089   -.0106699    .0904379
-----------------------------------------------------------------------------
note: final_stratum_id5 omitted because of collinearity.

Performing 5,000 replications for p-value for treatment = 0 ...
Computing confidence interval for treatment
  Lower bound: .........10.........20.... done (24)
  Upper bound: .........10.........20. done (21)

Performing 5,000 replications for p-value for final_stratum_id1 = 0 ...
Computing confidence interval for final_stratum_id1
  Lower bound: .........10.........20..... done (25)
  Upper bound: .........10.........20..... done (25)

Performing 5,000 replications for p-value for final_stratum_id2 = 0 ...
Computing confidence interval for final_stratum_id2
  Lower bound: .........10.........20 done (20)
  Upper bound: .........10.........20...... done (26)

Performing 5,000 replications for p-value for final_stratum_id3 = 0 ...
Computing confidence interval for final_stratum_id3
  Lower bound: .........10.........20...... done (26)
  Upper bound: .........10.........20........ done (28)

Performing 5,000 replications for p-value for final_stratum_id4 = 0 ...
Computing confidence interval for final_stratum_id4
  Lower bound: .........10.........20.........30 done (30)
  Upper bound: .........10.........20.........30........ done (38)

Performing 5,000 replications for p-value for final_stratum_id6 = 0 ...
Computing confidence interval for final_stratum_id6
  Lower bound: .........10.........20....... done (27)
  Upper bound: .........10.........20.........30.. done (32)

Performing 5,000 replications for p-value for final_stratum_id7 = 0 ...
Computing confidence interval for final_stratum_id7
  Lower bound: .........10.........20......... done (29)
  Upper bound: .........10.........20.........30..... done (35)

Performing 5,000 replications for p-value for final_stratum_id8 = 0 ...
Computing confidence interval for final_stratum_id8
  Lower bound: .........10.........20.... done (24)
  Upper bound: .........10.........20....... done (27)

Performing 5,000 replications for p-value for final_stratum_id9 = 0 ...
Computing confidence interval for final_stratum_id9
  Lower bound: .........10.........20..... done (25)
  Upper bound: .........10.........20........ done (28)

Performing 5,000 replications for p-value for final_stratum_id10 = 0 ...
Computing confidence interval for final_stratum_id10
  Lower bound: .........10.........20.........30... done (33)
  Upper bound: .........10.........20......... done (29)

Performing 5,000 replications for p-value for final_stratum_id11 = 0 ...
Computing confidence interval for final_stratum_id11
  Lower bound: .........10.........20. done (21)
  Upper bound: .........10.........20.... done (24)

Performing 5,000 replications for p-value for final_stratum_id12 = 0 ...
Computing confidence interval for final_stratum_id12
  Lower bound: .........10.........20.........30.........40.........50.........60..
> .......70.........80.........90.........100 done (100)
lower confidence bound not found
  Upper bound: .........10.........20.........30.........40.........50.........60..
> .......70.........80.........90.........100 done (100)
upper confidence bound not found

Performing 5,000 replications for p-value for final_stratum_id13 = 0 ...
Computing confidence interval for final_stratum_id13
  Lower bound: .........10.........20. done (21)
  Upper bound: .........10.........20....... done (27)

Wild cluster bootstrap                               Number of obs      = 102
Linear regression                                    Number of clusters =  56
                                                     Cluster size:
Cluster variable: uid_cluster                                       min =   1
Error weight: Rademacher                                            avg = 1.8
                                                                    max =   2
-----------------------------------------------------------------------------
      default_diff_verif |   Estimate      t  p-value    [95% conf. interval]
-------------------------+---------------------------------------------------
constraints              |
           treatment = 0 |  -.0396492   -3.29   0.002   -.0661622   -.0150866
   final_stratum_id1 = 0 |   .0165628    0.98   0.352   -.1139252    .1449106
   final_stratum_id2 = 0 |  -.0506988   -3.40   0.055   -.1091122    .0030599
   final_stratum_id3 = 0 |   .0015905    0.11   0.875   -.1290833    .1832099
   final_stratum_id4 = 0 |  -.0515929   -3.81   0.116   -.5393528    7.173361
   final_stratum_id6 = 0 |  -.0545823   -1.29   0.421   -.2948775    4.568103
   final_stratum_id7 = 0 |   -.057286   -2.40   0.223   -.6882884    8.335271
   final_stratum_id8 = 0 |    -.00844   -0.34   0.733   -.2179537    .1812671
   final_stratum_id9 = 0 |  -.0472144   -3.11   0.080   -.1344176    .0456604
  final_stratum_id10 = 0 |   .0206467    1.17   0.288   -.0580396    .0975974
  final_stratum_id11 = 0 |  -.0845511   -8.80   0.021   -.1369262   -.0449794
  final_stratum_id12 = 0 |  -.0608974   -3.87   0.081           .           .
  final_stratum_id13 = 0 |  -.0817308   -4.53   0.089   -.1722086    .0245353
-----------------------------------------------------------------------------
note: final_stratum_id5 omitted because of collinearity.
note: b_age_dum_ omitted because of collinearity.
note: b_jobs_bef_oa_dum_ omitted because of collinearity.
note: male_dum_ omitted because of collinearity.
note: gen_caste_dum_ omitted because of collinearity.
note: hindu_dum_ omitted because of collinearity.
note: tertiary_dum_ omitted because of collinearity.
note: ownhouse_dum_ omitted because of collinearity.

Performing 5,000 replications for p-value for treatment = 0 ...
Computing confidence interval for treatment
  Lower bound: .........10.........20 done (20)
  Upper bound: .........10.........20.........30 done (30)

Performing 5,000 replications for p-value for final_stratum_id1 = 0 ...
Computing confidence interval for final_stratum_id1
  Lower bound: .........10.........20... done (23)
  Upper bound: .........10.........20.... done (24)

Performing 5,000 replications for p-value for final_stratum_id2 = 0 ...
Computing confidence interval for final_stratum_id2
  Lower bound: .........10.........20........ done (28)
  Upper bound: .........10.........20...... done (26)

Performing 5,000 replications for p-value for final_stratum_id3 = 0 ...
Computing confidence interval for final_stratum_id3
  Lower bound: .........10.........20..... done (25)
  Upper bound: .........10.........20.... done (24)

Performing 5,000 replications for p-value for final_stratum_id4 = 0 ...
Computing confidence interval for final_stratum_id4
  Lower bound: .........10.........20.........30........ done (38)
  Upper bound: .........10.........20. done (21)

Performing 5,000 replications for p-value for final_stratum_id6 = 0 ...
Computing confidence interval for final_stratum_id6
  Lower bound: .........10......... done (19)
  Upper bound: .........10.........20....... done (27)

Performing 5,000 replications for p-value for final_stratum_id7 = 0 ...
Computing confidence interval for final_stratum_id7
  Lower bound: .........10.........20... done (23)
  Upper bound: .........10.........20..... done (25)

Performing 5,000 replications for p-value for final_stratum_id8 = 0 ...
Computing confidence interval for final_stratum_id8
  Lower bound: .........10.........20........ done (28)
  Upper bound: .........10.........20...... done (26)

Performing 5,000 replications for p-value for final_stratum_id9 = 0 ...
Computing confidence interval for final_stratum_id9
  Lower bound: .........10.........20.. done (22)
  Upper bound: .........10.........20.... done (24)

Performing 5,000 replications for p-value for final_stratum_id10 = 0 ...
Computing confidence interval for final_stratum_id10
  Lower bound: .........10.........20. done (21)
  Upper bound: .........10.........20... done (23)

Performing 5,000 replications for p-value for final_stratum_id11 = 0 ...
Computing confidence interval for final_stratum_id11
  Lower bound: .........10........ done (18)
  Upper bound: .........10.........20.... done (24)

Performing 5,000 replications for p-value for final_stratum_id12 = 0 ...
Computing confidence interval for final_stratum_id12
  Lower bound: .........10.........20 done (20)
  Upper bound: .........10.........20..... done (25)

Performing 5,000 replications for p-value for final_stratum_id13 = 0 ...
Computing confidence interval for final_stratum_id13
  Lower bound: .........10.........20......... done (29)
  Upper bound: .........10.........20...... done (26)

Performing 5,000 replications for p-value for b_age_ = 0 ...
Computing confidence interval for b_age_
  Lower bound: .........10.........20 done (20)
  Upper bound: .........10.........20.... done (24)

Performing 5,000 replications for p-value for b_jobs_bef_oa_ = 0 ...
Computing confidence interval for b_jobs_bef_oa_
  Lower bound: .........10.........20. done (21)
  Upper bound: .........10.........20. done (21)

Performing 5,000 replications for p-value for male_ = 0 ...
Computing confidence interval for male_
  Lower bound: .........10.........20...... done (26)
  Upper bound: .........10.........20.........30. done (31)

Performing 5,000 replications for p-value for gen_caste_ = 0 ...
Computing confidence interval for gen_caste_
  Lower bound: .........10.........20..... done (25)
  Upper bound: .........10.........20. done (21)

Performing 5,000 replications for p-value for hindu_ = 0 ...
Computing confidence interval for hindu_
  Lower bound: .........10.........20. done (21)
  Upper bound: .........10.........20.. done (22)

Performing 5,000 replications for p-value for twelveandbelow_ = 0 ...
Computing confidence interval for twelveandbelow_
  Lower bound: .........10.........20......... done (29)
  Upper bound: .........10.........20.........30. done (31)

Performing 5,000 replications for p-value for tertiary_ = 0 ...
Computing confidence interval for tertiary_
  Lower bound: .........10.........20........ done (28)
  Upper bound: .........10.........20.........30.. done (32)

Performing 5,000 replications for p-value for hhd_size_ = 0 ...
Computing confidence interval for hhd_size_
  Lower bound: .........10.........20....... done (27)
  Upper bound: .........10.........20. done (21)

Performing 5,000 replications for p-value for ownhouse_ = 0 ...
Computing confidence interval for ownhouse_
  Lower bound: .........10.........20.. done (22)
  Upper bound: .........10.........20 done (20)

Performing 5,000 replications for p-value for twelveandbelow_dum_ = 0 ...
Computing confidence interval for twelveandbelow_dum_
  Lower bound: .........10.........20.........30.. done (32)
  Upper bound: .........10.........20........ done (28)

Performing 5,000 replications for p-value for hhd_size_dum_ = 0 ...
Computing confidence interval for hhd_size_dum_
  Lower bound: .........10.........20.... done (24)
  Upper bound: .........10.........20. done (21)

Wild cluster bootstrap                               Number of obs      = 102
Linear regression                                    Number of clusters =  56
                                                     Cluster size:
Cluster variable: uid_cluster                                       min =   1
Error weight: Rademacher                                            avg = 1.8
                                                                    max =   2
-----------------------------------------------------------------------------
      default_diff_verif |   Estimate      t  p-value    [95% conf. interval]
-------------------------+---------------------------------------------------
constraints              |
           treatment = 0 |  -.0312805   -2.20   0.060   -.0697999    .0016234
   final_stratum_id1 = 0 |   .0127001    0.51   0.604    -.093192    .1312796
   final_stratum_id2 = 0 |  -.0653398   -3.63   0.027    -.109206   -.0194085
   final_stratum_id3 = 0 |   .0204937    1.20   0.270   -.1178103    .1673092
   final_stratum_id4 = 0 |  -.0356199   -1.05   0.482   -.1130827    .0828069
   final_stratum_id6 = 0 |  -.0736228   -1.68   0.266   -.2333194    .1380828
   final_stratum_id7 = 0 |  -.0699816   -2.61   0.069   -.1479436    .0113846
   final_stratum_id8 = 0 |  -.0218135   -0.92   0.419   -.1577513    .1446484
   final_stratum_id9 = 0 |  -.0174263   -0.68   0.530   -.1391289    .0806543
  final_stratum_id10 = 0 |    .026051    1.08   0.344   -.0648932    .1449767
  final_stratum_id11 = 0 |  -.0838122   -3.67   0.058   -.1668467    .0071125
  final_stratum_id12 = 0 |  -.0691276   -2.60   0.064   -.1512328    .0108045
  final_stratum_id13 = 0 |  -.0779045   -3.27   0.105   -.2198716    .1224316
              b_age_ = 0 |   .0000793    0.08   0.926   -.0022748    .0024592
      b_jobs_bef_oa_ = 0 |   .0241293    1.48   0.190   -.0133796    .0640703
               male_ = 0 |  -.0329587   -2.21   0.068   -.0660562    .0035238
          gen_caste_ = 0 |  -.0307708   -1.92   0.115   -.0698498    .0084135
              hindu_ = 0 |   .0252093    1.26   0.316    -.025856    .0798819
     twelveandbelow_ = 0 |  -.0672633   -3.59   0.228   -.6557272    .5477003
           tertiary_ = 0 |  -.0578736   -3.36   0.210   -.3932116    .6388664
           hhd_size_ = 0 |   -.003909   -1.70   0.206   -.0089798    .0027472
           ownhouse_ = 0 |   .0207036    1.48   0.204   -.0123763    .0543211
 twelveandbelow_dum_ = 0 |   .0214243    0.52   0.704   -.9822157    .3803287
       hhd_size_dum_ = 0 |  -.0309597   -1.03   0.456   -.1376285    .1002952
-----------------------------------------------------------------------------

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